{"id":"https://openalex.org/W3178586369","doi":"https://doi.org/10.1109/tbme.2021.3095848","title":"Energy-Efficient Neural Network for Epileptic Seizure Prediction","display_name":"Energy-Efficient Neural Network for Epileptic Seizure Prediction","publication_year":2021,"publication_date":"2021-07-09","ids":{"openalex":"https://openalex.org/W3178586369","doi":"https://doi.org/10.1109/tbme.2021.3095848","mag":"3178586369","pmid":"https://pubmed.ncbi.nlm.nih.gov/34242159"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2021.3095848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2021.3095848","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077848645","display_name":"Shiqi Zhao","orcid":"https://orcid.org/0000-0002-7208-7075"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Zhao","raw_affiliation_strings":["Cutting-Edge Net of Biomedical Research and Innovation, School of Engineering, Westlake University, China","Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-7208-7075","affiliations":[{"raw_affiliation_string":"Cutting-Edge Net of Biomedical Research and Innovation, School of Engineering, Westlake University, China","institution_ids":["https://openalex.org/I3133055985"]},{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007036605","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-4148-0042"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Cutting-Edge Net of Biomedical Research and Innovation, School of Engineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4148-0042","affiliations":[{"raw_affiliation_string":"Cutting-Edge Net of Biomedical Research and Innovation, School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082509767","display_name":"Mohamad Sawan","orcid":"https://orcid.org/0000-0002-4137-7272"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohamad Sawan","raw_affiliation_strings":["Cutting-Edge Net of Biomedical Research and Innovation, School of Engineering, Westlake University, China"],"raw_orcid":"https://orcid.org/0000-0002-4137-7272","affiliations":[{"raw_affiliation_string":"Cutting-Edge Net of Biomedical Research and Innovation, School of Engineering, Westlake University, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0326,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.98066909,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"69","issue":"1","first_page":"401","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10094","display_name":"Epilepsy research and treatment","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222659587860107},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5927777886390686},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.557902455329895},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5282313823699951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5097612738609314},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5045915842056274},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4894617795944214},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4812626540660858},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.465506374835968},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4557291269302368},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43799158930778503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41542911529541016},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.41004207730293274},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.14913001656532288},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1417461335659027},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1232006847858429},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10432884097099304},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09165260195732117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222659587860107},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5927777886390686},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.557902455329895},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5282313823699951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5097612738609314},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5045915842056274},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4894617795944214},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4812626540660858},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.465506374835968},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4557291269302368},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43799158930778503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41542911529541016},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.41004207730293274},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14913001656532288},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1417461335659027},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1232006847858429},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10432884097099304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09165260195732117},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2021.3095848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2021.3095848","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:34242159","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34242159","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:publications.polymtl.ca:51077","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/51077/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article de revue"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1999085092","https://openalex.org/W2040990639","https://openalex.org/W2088222765","https://openalex.org/W2119717200","https://openalex.org/W2185100366","https://openalex.org/W2291197622","https://openalex.org/W2317674142","https://openalex.org/W2319920447","https://openalex.org/W2523527689","https://openalex.org/W2531409750","https://openalex.org/W2559463885","https://openalex.org/W2586456943","https://openalex.org/W2758802379","https://openalex.org/W2780723646","https://openalex.org/W2799610518","https://openalex.org/W2804824909","https://openalex.org/W2805290054","https://openalex.org/W2806000515","https://openalex.org/W2887044684","https://openalex.org/W2888598199","https://openalex.org/W2890191974","https://openalex.org/W2895873090","https://openalex.org/W2898742401","https://openalex.org/W2935529130","https://openalex.org/W2937108468","https://openalex.org/W2945146780","https://openalex.org/W2946547492","https://openalex.org/W2962984603","https://openalex.org/W2963029056","https://openalex.org/W2963163009","https://openalex.org/W2984356918","https://openalex.org/W2995478274","https://openalex.org/W3042619474","https://openalex.org/W3080578087","https://openalex.org/W3089536181","https://openalex.org/W3090267384","https://openalex.org/W3092348244","https://openalex.org/W3100551743","https://openalex.org/W3102455230","https://openalex.org/W3151434210","https://openalex.org/W4297775537","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6677580257","https://openalex.org/W6700264148","https://openalex.org/W6729956949","https://openalex.org/W6745148473","https://openalex.org/W6756887525","https://openalex.org/W6760785769"],"related_works":["https://openalex.org/W2395385109","https://openalex.org/W2773633178","https://openalex.org/W2080101436","https://openalex.org/W2802335767","https://openalex.org/W4388090985","https://openalex.org/W2922348724","https://openalex.org/W2356350882","https://openalex.org/W200322357","https://openalex.org/W1545074592","https://openalex.org/W2275559830"],"abstract_inverted_index":{"Seizure":[0],"prediction":[1,127],"for":[2,149,161,166,174,183,209,220,228],"drug-refractory":[3],"epilepsy":[4],"patients":[5],"can":[6],"improve":[7],"their":[8,13],"quality":[9],"of":[10,50,106,192],"life,":[11],"reduce":[12],"anxiety,":[14],"and":[15,34,52,96,117,129,140,144,178,213,231],"help":[16],"them":[17],"take":[18],"the":[19,87,101,113,167,189,198,226],"necessary":[20],"precautions.":[21],"Nowadays,":[22],"numerous":[23],"deep":[24],"learning":[25,41],"algorithms":[26],"have":[27,58],"been":[28],"proposed":[29],"to":[30,84,99],"predict":[31,100],"seizure":[32],"onset":[33],"obtain":[35],"better":[36],"performance":[37],"than":[38,171,180,204,215],"traditional":[39],"machine":[40],"methods.":[42],"However,":[43],"these":[44,63],"methods":[45,64,98,160],"require":[46],"a":[47,81],"large":[48,53],"set":[49],"parameters":[51],"hardware":[54],"resources;":[55],"they":[56],"also":[57],"high":[59],"energy":[60,199],"consumption.":[61],"Therefore,":[62],"cannot":[65],"be":[66],"implemented":[67],"on":[68,80],"compact,":[69],"low-power":[70,229],"wearable,":[71],"or":[72],"implantable":[73,232],"medical":[74],"devices.":[75],"The":[76,123,164],"devices":[77],"should":[78],"operate":[79],"real-time":[82],"basis":[83],"continually":[85],"inform":[86],"epileptic":[88,102],"patients.":[89],"In":[90,196],"this":[91],"paper,":[92],"we":[93],"describe":[94],"energy-efficient":[95],"hardware-friendly":[97],"seizures.":[103],"A":[104],"model":[105,154,162,168,194],"only":[107],"45":[108],"kB":[109,173,182],"was":[110,118,155,202],"obtained":[111],"by":[112],"neural":[114],"architecture":[115],"search":[116],"evaluated":[119],"across":[120],"three":[121,150],"datasets.":[122,152],"overall":[124],"sensitivity,":[125],"false":[126],"rate,":[128],"area":[130],"under":[131],"receiver":[132],"operating":[133],"characteristic":[134],"curve":[135],"were":[136],"99.81%,":[137],"0.005/h,":[138],"1":[139],"93.48%,":[141],"0.063/h,":[142],"0.977":[143],"85.19%,":[145],"0.116/h,":[146],"0.933,":[147],"respectively,":[148],"public":[151],"This":[153],"further":[156],"reduced":[157],"with":[158],"several":[159],"compression.":[163],"performances":[165],"sizes":[169],"less":[170,179,203,214],"50":[172],"scalp":[175,210],"EEG":[176,185,211,222],"data":[177,186],"10":[181,205],"intracranial":[184,221],"outperformed":[187],"all":[188],"other":[190],"models":[191],"similar":[193],"sizes.":[195],"particular,":[197],"consumption":[200],"estimation":[201],"mJ":[206,217],"per":[207,218],"inference":[208,219],"signal":[212],"0.5":[216],"signal,":[223],"which":[224],"meet":[225],"requirements":[227],"wearable":[230],"devices,":[233],"respectively.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
